nadzeyaveles

Computational linguist with a strong foundation in natural language processing (NLP) and text data analysis. Currently completing a professional retraining program in Computational Linguistics at the Higher School of Economics (HSE), I have gained hands-on experience with modern NLP techniques and tools, including: 
 
- Working with basic data structures (lists, tuples, sets, dictionaries). 
 - Using functions, modules and libraries to process data. 
 - Experience with object-oriented programming (OOP). 
 - Data parsing, including the use of Selenium.
 - Neural networks with TensorFlow (text classification, embeddings). 
 - Feature engineering and data manipulation (NumPy, Pandas). 
 - Rule-based and statistical morphological analysis (Mystem, pymorphy). 
 - Text preprocessing (tokenization, lemmatization, regex). 
 - Frequency analysis, n-grams, and corpus linguistics. 
 - Web scraping (Selenium, BeautifulSoup) and data pipelines. 

I have no work experience, but would love to take part in an internship or become a full time employee!